Topics / #production

Production projects on GitHub

Practices and tools for running systems reliably in production.

As of , the most-starred Production projects on GitHub are pm2 (43.3K stars), spaCy (34K stars) and applied-ml (30.6K stars). GitHub.Locker tracks 8 Production repositories with 157.7K stars combined. The fastest-growing on October 16 was agents-towards-production, with +13 stars in a day.

8Projects
157.7KStars in total
+39Stars in a day
Browse in the catalog →github.com/topics/production ↗

Hot right now

Most stars gained in a day · Oct 16

+13

agents-towards-production

NirDiamant/agents-towards-production · ★ 21.7K

It's an open-source collection of 28+ code-first, hands-on tutorials for taking GenAI agents from a prototype to a production-ready product, covering orchestration, memory, observability, deployment, and security.

+8

applied-ml

eugeneyan/applied-ml · ★ 30.6K

applied-ml is a curated collection of papers, articles, and tech blogs where companies like Airbnb, Uber, Netflix, Google, and DoorDash share how they run data science and machine learning in production.

+8

cayu

cayu-dev/cayu · ★ 904

Cayu is an open-source Python framework for building and running domain-specific long-horizon AI agents, with a durable runtime built in that handles sessions, task dispatch, recovery, approvals, and observability.

+3

pm2

Unitech/pm2 · ★ 43.3K

PM2 is a production process manager for Node.js and Bun applications that keeps them running forever, reloads them without downtime, and includes a built-in load balancer.

The all-time top

8 projects · by stars

  1. #1 · Unitech/pm2

    pm2

    PM2 is a production process manager for Node.js and Bun applications that keeps them running forever, reloads them without downtime, and includes a built-in load balancer.

    43.3K
  2. #2 · explosion/spaCy

    spaCy

    spaCy is a library for advanced Natural Language Processing in Python and Cython, designed from day one for real products. It ships pretrained pipelines and supports tokenization and training for 70+ languages.

    34K
  3. #3 · eugeneyan/applied-ml

    applied-ml

    applied-ml is a curated collection of papers, articles, and tech blogs where companies like Airbnb, Uber, Netflix, Google, and DoorDash share how they run data science and machine learning in production.

    30.6K
  1. 4

    agents-towards-production

    21.7KNirDiamant/agents-towards-production · Jupyter Notebook

    It's an open-source collection of 28+ code-first, hands-on tutorials for taking GenAI agents from a prototype to a production-ready product, covering orchestration, memory, observability, deployment, and security.

  2. 5

    awesome-sre

    13.7Kdastergon/awesome-sre

    A curated list of Site Reliability Engineering (SRE) and Production Engineering resources — a hand-picked collection of articles, books, talks, podcasts and tools, maintained as a single GitHub README.

  3. 6

    machine-learning-systems-design

    10.7Kchiphuyen/machine-learning-systems-design · HTML

    A free booklet on designing machine learning systems, covering four main steps: project setup, data pipeline, modeling (selecting, training, debugging), and serving (testing, deploying, maintaining), with links to practical resources and case studies.

  4. 7

    ai-agents-the-definitive-guide

    2.8KNicolepcx/ai-agents-the-definitive-guide · Jupyter Notebook

    It is the companion code repository for the book 'AI Agents - The Definitive Guide': a set of runnable Jupyter notebooks that walk through every chapter, from basic agent patterns to production deployment and threat modeling.

  5. 8

    cayu

    904cayu-dev/cayu · Python

    Cayu is an open-source Python framework for building and running domain-specific long-horizon AI agents, with a durable runtime built in that handles sessions, task dispatch, recovery, approvals, and observability.

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